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Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA

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  • Luo, Lin
  • Liu, Xiaobo
  • Fu, Zhijian
  • Ma, Jian
  • Liu, Fanxiao

Abstract

Pedestrian movement modeling is a popular out-of-equilibrium problem in statistical and computational physics. As a kind of typical pedestrian movement, multidirectional flow is quite common in real-life, and examples include the bidirectional flow in corridors and cross flow at intersections. In the discrepancies of the multidirectional flows, the behaviors of pedestrians should play a crucial role. Therefore, in this paper, the following behavior and the right-side-preference are investigated in three different types of multidirectional flow. By the floor field cellular automaton (FFCA), the dynamic floor field is redefined, and the right-preferred floor field and the order parameter for lanes formation are formulated. Then, the fundamental diagram, lanes formation, density distribution and passing time are analyzed in the multidirectional flows considering the influence of following behavior and right-side-preference. Finally, the simulation is compared with the empirical data, indicating that the proposed FFCA models the multidirectional flow well.

Suggested Citation

  • Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    • Handle: RePEc:eee:phsmap:v:550:y:2020:i:c:s0378437120300108
    DOI: 10.1016/j.physa.2020.124149
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    as
    1. Weifeng, Yuan & Kang Hai, Tan, 2007. "A novel algorithm of simulating multi-velocity evacuation based on cellular automata modeling and tenability condition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 250-262.
    2. Li, Yang & Chen, Maoyin & Dou, Zhan & Zheng, Xiaoping & Cheng, Yuan & Mebarki, Ahmed, 2019. "A review of cellular automata models for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    3. Tajima, Yusuke & Takimoto, Kouhei & Nagatani, Takashi, 2002. "Pattern formation and jamming transition in pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(3), pages 709-723.
    4. Yue, Hao & Guan, Hongzhi & Zhang, Juan & Shao, Chunfu, 2010. "Study on bi-direction pedestrian flow using cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 527-539.
    5. Lam, William H. K. & Lee, Jodie Y. S. & Chan, K. S. & Goh, P. K., 2003. "A generalised function for modeling bi-directional flow effects on indoor walkways in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(9), pages 789-810, November.
    6. Hughes, Roger L., 2002. "A continuum theory for the flow of pedestrians," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 507-535, July.
    7. Helbing, Dirk, 1992. "Interrelations between stochastic equations for systems with pair interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 181(1), pages 29-52.
    8. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    9. Guo, Wei & Wang, Xiaolu & Zheng, Xiaoping, 2015. "Lane formation in pedestrian counterflows driven by a potential field considering following and avoidance behaviours," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 87-101.
    10. Huang, Shenshi & Wei, Ruichao & Lo, Siuming & Lu, Shouxiang & Li, Changhai & An, Chao & Liu, Xiaoxia, 2019. "Experimental study on one-dimensional movement of luggage-laden pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 520-528.
    11. Guo, Ren-Yong & Wong, S.C. & Huang, Hai-Jun & Zhang, Peng & Lam, William H.K., 2010. "A microscopic pedestrian-simulation model and its application to intersecting flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 515-526.
    12. Wang, Peng & Cao, Shuchao & Yao, Ming, 2019. "Fundamental diagrams for pedestrian traffic flow in controlled experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 266-277.
    13. Muramatsu, Masakuni & Irie, Tunemasa & Nagatani, Takashi, 1999. "Jamming transition in pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 267(3), pages 487-498.
    14. Yang, Lizhong & Li, Jian & Liu, Shaobo, 2008. "Simulation of pedestrian counter-flow with right-moving preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3281-3289.
    15. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    16. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    17. Isobe, Motoshige & Adachi, Taku & Nagatani, Takashi, 2004. "Experiment and simulation of pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 638-650.
    18. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
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    2. Zhao, Ruifeng & Zhai, Yue & Qu, Lu & Wang, Ruhao & Huang, Yaoying & Dong, Qi, 2021. "A continuous floor field cellular automata model with interaction area for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
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    5. Yu, Rongfu & Mao, Qinghua & Lv, Jian, 2022. "An extended model for crowd evacuation considering rescue behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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